Bangaly Kaba

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Recent work has used graphs to modelize expression data from microarray experiments, in view of partitioning the genes into clusters. In this paper, we introduce the use of a decomposition by clique separators. Our aim is to improve the classical clustering methods in two ways: first we want to allow an overlap between clusters, as this seems biologically(More)
We propose a graph-based decomposition methodology of a network of document features represented by a terminology graph. The graph is automatically extracted from raw data based on Natural Language Processing techniques implemented in the TermWatch system. These graphs are Small Worlds. Based on clique minimal separators and the associated graph of atoms: a(More)
Africa needs access to the powerful information and communication tools of the internet in order to obtain the resources and efficiency essential for its sustainable development. Unfortunately, in 2014, the data from showed only 9.8% of African populations have access to the internet. This relative low internet penetration rate signals(More)
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